Papers
11
Total Citations
245
H-Index
8
About
Kyung Hak Hyun is a pioneering researcher in human-robot interaction, with a primary focus on speech emotion recognition and emotional interaction systems for service and rescue robots. His most influential work, "Improved Emotion Recognition With a Novel Speaker-Independent Feature" (2009, 80 citations), addresses a critical challenge in the field: enabling robots to accurately recognize human emotions regardless of the speaker, a key step toward natural human-robot communication. Hyun's contributions extend to developing the emotion interaction system for the service robot "Mung" and the Thinking Robot (T-ROT), where he introduced innovative techniques such as Eigen-FFT for robust emotion recognition in noisy environments and phoneme-based feature extraction to improve accuracy. His research on obstacle negotiation for rescue robots with a variable single-tracked mechanism (19 citations) demonstrates his versatility in robotics, bridging emotional intelligence with practical mobility solutions. With over 200 cumulative citations, Hyun's work has laid foundational methods for speaker-independent emotion recognition, making robots more perceptive and reliable companions in both domestic and emergency settings.
Research Focus
Key Achievements
Top Papers
- 1Improved Emotion Recognition With a Novel Speaker-Independent Feature80 citations · 2009
- 2Emotion Interaction System for a Service Robot46 citations · 2007
- 3Speech Emotion Recognition Using Eigen-FFT in Clean and Noisy Environments24 citations · 2007
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- 8Design and Development of an Emotional Interaction Robot, Mung12 citations · 2009
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